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Bio-inspired computing : theories and applications : 17th International Conference, BIC-TA 2022, Wuhan, China, December 16-18 2022 / / Linqiang Pan [and three others], editors
| Bio-inspired computing : theories and applications : 17th International Conference, BIC-TA 2022, Wuhan, China, December 16-18 2022 / / Linqiang Pan [and three others], editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (XVIII, 705 p. 357 illus., 271 illus. in color.) |
| Disciplina | 005.1 |
| Collana | Communications in Computer and Information Science Series |
| Soggetto topico |
Evolutionary computation
Machine learning Natural computation |
| ISBN | 981-9915-49-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary Computation & Swarm Intelligence -- Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study -- Research on Multi-modal Multi-Objective Path Planning by Improved Ant Colony Algorithm -- Local Path Planning Algorithm Designed for Unmanned Surface Vessel Based on Improved Genetic Algorithm -- A Multi-Objective Particle Swarm Algorithm Based on a Preference Strategy -- An Improved Harris Hawk Optimization Algorithm Based on Spiral Search and Neighborhood Perturbation -- S-Plane Controller Parameter Tuning Based on IAFSA for UUV -- A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling -- Optimal Formation of UUV Groups Based on Shape Theory and Improved Ant Colony Algorithm Under Communication Delay -- Global Path Planning for Unmanned Ships Based on Improved Particle Swarm Algorithm -- A Self-Adaptive Single-objective Multitasking Optimization Algorithm -- Improved Whale Optimization Algorithm by Multi-mechanism Fusion -- Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment -- An Improved Chaos-based Particle Swarm Optimization Algorithm -- Task Location Distribution based Genetic Algorithm for UAV Mobile Crowd Sensing -- The Utilities of Evolutionary Multiobjective Optimization for Neural Architecture Search – An Empirical Perspective -- Research on Unmanned Ship Collision Avoidance Algorithm based on Improved Particle Swarm Pptimization Algorithm -- Solving Constrained Multi-objective Optimization Problems with Passive Archiving Mechanism -- A Comparison of Large-scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation -- Enabling Surrogate-assisted Evolutionary Reinforcement Learning via Policy Embedding -- An Improved MPCA Algorithm with Weight Matrix Based on Many-objective Optimization -- Machine Learning & Deep Learning -- Research on Helmet Wearing Detection Based on Improved YOLOv4 Algorithm -- Research on Target Detection Algorithm of Unmanned Surface Vehicle Based on Deep Learning -- A Review On Bio-inspired Fluid Mechanics Via Deep Reinforcement Learning -- Memristor-Based Neural Network Circuit of Operant Conditioning with Overshadowing -- Continual Learning with a Memory of Non-similar Samples -- Research on Soil Moisture Prediction Based on LSTM-Transformer Model -- Graph Contrastive Learning with Intrinsic Augmentations -- Research on Global Collision Avoidance Algorithm for Unmanned Ship Based on Improved Artificial Potential Field Algorithm -- OCET: One-dimensional Convolution Embedding Transformer for Stock Trend Prediction -- A Rapid, Precise Spiking Neural Network Approach for Image Recognition -- Research on Improved Image Dehazing Algorithm Based on Dark Channel Prior -- Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing -- Swing-up and Balance Control of Cart-pole Based on Reinforcement Learning DDPG -- Yolov5 Outdoor Dynamic Object Detection Based on Multi-scale Feature Fusion -- Intelligent Control & Simulation -- Multi-UUV Formation Cooperative Full-area Coverage Search Method -- Multi-scale Simulations of Flow in the Upper Open Area of a Luxury Cruise Ship -- Research on Course Control Algorithm of Unmanned Craft based on Model Predictive Control -- Multi-UUV Underwater Target Cooperative Detection Task Planning and Assignment -- Multi-UUV Cooperative Navigation and Positioning Algorithm under Communication Delay -- The Research of the Consistency Control under The Condition of Time-lag of Isomerism AUV Group Communication -- Non-uniform Deformation Behavior of Magneto-sensitive Elastomer Containing Uniform Sphere Particles with “V” Arrangement -- Study on the Influence of Exit Width Change on Heterogeneous Passengers Evacuation based on the Social Force Model -- A Review of Longitudinal Vibration and Vibration Reduction Technology of Propulsion Shafting -- Design and Simulation of Heading Controller for Unmanned Boat Based on Fuzzy Neural PID -- Flexible Formation Control of Multiple Unmanned Vehicles based on Artificial Potential Field Method -- Local Path Planning Combined with the Motion State of Dynamic Obstacles -- Simulation of Airflow Characteristics of a Seabird Following a Ship Based on Steady States -- Numerical Simulation of Bionic Undulating Fin Surface Drag Reduction Structure -- Molecular Computing & Nanotechnology -- Integrated Design and Absorbing Performance Analysis for Periodic Wave Absorbing and Bearing Structures -- Diffusion Optimization Algorithm Based on Membrane Calculation -- Tuning Geometric Conformations of Curved DNA Structures by Controlling Positions of Nicks -- A Sensitive Nanothermometer Based on DNA Triplex Structure -- Microwave Absorption Properties of Double-layer Absorbing Material Based on Carbonyl Iron and Graphene Composites -- Reconfigurable Nanobook Structure Driven by Polymerase-triggered DNA Strand Displacement -- An Analysis for Thermal Conductivity of Graphene/polymer Nanocomposites -- Simulation of Aflatoxin B1 Detection Model Based on Hybridization Chain Reaction. |
| Record Nr. | UNINA-9910698649703321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bio-inspired computing : theories and applications : 17th International Conference, BIC-TA 2022, Wuhan, China, December 16-18 2022 / / Linqiang Pan [and three others], editors
| Bio-inspired computing : theories and applications : 17th International Conference, BIC-TA 2022, Wuhan, China, December 16-18 2022 / / Linqiang Pan [and three others], editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (XVIII, 705 p. 357 illus., 271 illus. in color.) |
| Disciplina | 005.1 |
| Collana | Communications in Computer and Information Science Series |
| Soggetto topico |
Evolutionary computation
Machine learning Natural computation |
| ISBN | 981-9915-49-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary Computation & Swarm Intelligence -- Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study -- Research on Multi-modal Multi-Objective Path Planning by Improved Ant Colony Algorithm -- Local Path Planning Algorithm Designed for Unmanned Surface Vessel Based on Improved Genetic Algorithm -- A Multi-Objective Particle Swarm Algorithm Based on a Preference Strategy -- An Improved Harris Hawk Optimization Algorithm Based on Spiral Search and Neighborhood Perturbation -- S-Plane Controller Parameter Tuning Based on IAFSA for UUV -- A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling -- Optimal Formation of UUV Groups Based on Shape Theory and Improved Ant Colony Algorithm Under Communication Delay -- Global Path Planning for Unmanned Ships Based on Improved Particle Swarm Algorithm -- A Self-Adaptive Single-objective Multitasking Optimization Algorithm -- Improved Whale Optimization Algorithm by Multi-mechanism Fusion -- Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment -- An Improved Chaos-based Particle Swarm Optimization Algorithm -- Task Location Distribution based Genetic Algorithm for UAV Mobile Crowd Sensing -- The Utilities of Evolutionary Multiobjective Optimization for Neural Architecture Search – An Empirical Perspective -- Research on Unmanned Ship Collision Avoidance Algorithm based on Improved Particle Swarm Pptimization Algorithm -- Solving Constrained Multi-objective Optimization Problems with Passive Archiving Mechanism -- A Comparison of Large-scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation -- Enabling Surrogate-assisted Evolutionary Reinforcement Learning via Policy Embedding -- An Improved MPCA Algorithm with Weight Matrix Based on Many-objective Optimization -- Machine Learning & Deep Learning -- Research on Helmet Wearing Detection Based on Improved YOLOv4 Algorithm -- Research on Target Detection Algorithm of Unmanned Surface Vehicle Based on Deep Learning -- A Review On Bio-inspired Fluid Mechanics Via Deep Reinforcement Learning -- Memristor-Based Neural Network Circuit of Operant Conditioning with Overshadowing -- Continual Learning with a Memory of Non-similar Samples -- Research on Soil Moisture Prediction Based on LSTM-Transformer Model -- Graph Contrastive Learning with Intrinsic Augmentations -- Research on Global Collision Avoidance Algorithm for Unmanned Ship Based on Improved Artificial Potential Field Algorithm -- OCET: One-dimensional Convolution Embedding Transformer for Stock Trend Prediction -- A Rapid, Precise Spiking Neural Network Approach for Image Recognition -- Research on Improved Image Dehazing Algorithm Based on Dark Channel Prior -- Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing -- Swing-up and Balance Control of Cart-pole Based on Reinforcement Learning DDPG -- Yolov5 Outdoor Dynamic Object Detection Based on Multi-scale Feature Fusion -- Intelligent Control & Simulation -- Multi-UUV Formation Cooperative Full-area Coverage Search Method -- Multi-scale Simulations of Flow in the Upper Open Area of a Luxury Cruise Ship -- Research on Course Control Algorithm of Unmanned Craft based on Model Predictive Control -- Multi-UUV Underwater Target Cooperative Detection Task Planning and Assignment -- Multi-UUV Cooperative Navigation and Positioning Algorithm under Communication Delay -- The Research of the Consistency Control under The Condition of Time-lag of Isomerism AUV Group Communication -- Non-uniform Deformation Behavior of Magneto-sensitive Elastomer Containing Uniform Sphere Particles with “V” Arrangement -- Study on the Influence of Exit Width Change on Heterogeneous Passengers Evacuation based on the Social Force Model -- A Review of Longitudinal Vibration and Vibration Reduction Technology of Propulsion Shafting -- Design and Simulation of Heading Controller for Unmanned Boat Based on Fuzzy Neural PID -- Flexible Formation Control of Multiple Unmanned Vehicles based on Artificial Potential Field Method -- Local Path Planning Combined with the Motion State of Dynamic Obstacles -- Simulation of Airflow Characteristics of a Seabird Following a Ship Based on Steady States -- Numerical Simulation of Bionic Undulating Fin Surface Drag Reduction Structure -- Molecular Computing & Nanotechnology -- Integrated Design and Absorbing Performance Analysis for Periodic Wave Absorbing and Bearing Structures -- Diffusion Optimization Algorithm Based on Membrane Calculation -- Tuning Geometric Conformations of Curved DNA Structures by Controlling Positions of Nicks -- A Sensitive Nanothermometer Based on DNA Triplex Structure -- Microwave Absorption Properties of Double-layer Absorbing Material Based on Carbonyl Iron and Graphene Composites -- Reconfigurable Nanobook Structure Driven by Polymerase-triggered DNA Strand Displacement -- An Analysis for Thermal Conductivity of Graphene/polymer Nanocomposites -- Simulation of Aflatoxin B1 Detection Model Based on Hybridization Chain Reaction. |
| Record Nr. | UNISA-996547950403316 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bio-inspired computing . Part I : theories and applications : 16th international conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021 : revised selected papers / / Linqiang Pan [and three others], editors
| Bio-inspired computing . Part I : theories and applications : 16th international conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021 : revised selected papers / / Linqiang Pan [and three others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (478 pages) |
| Disciplina | 006 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Natural computation
Artificial intelligence |
| ISBN | 981-19-1256-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Evolutionary Computation and Swarm Intelligence -- An Optimization Task Scheduling Model for Multi-robot Systems in Intelligent Warehouses -- 1 Introduction -- 2 Related Work -- 3 Intelligent Warehouses -- 3.1 Problem Statement -- 3.2 BHM -- 4 Improved Intelligent Warehouses -- 4.1 New Model -- 4.2 New Model -- 5 Simulated Experiments -- 5.1 Performance Metrics -- 5.2 Parameter Settings -- 5.3 Analysis of Results -- 6 Conclusion -- References -- A Multi-objective Optimization Algorithm for Wireless Sensor Network Energy Balance Problem in Internet of Things -- Abstract -- 1 Introduction -- 2 WSN Energy Balance Problem -- 2.1 Problem Analysis -- 2.2 Problem Model -- 3 Algorithm Principle -- 3.1 NSGA-II -- 3.2 Clustering Mechanism -- 3.3 Framework of CMNSGA-II -- 4 Experimental Simulation -- 4.1 Parameter Setting -- 4.2 Result Analysis -- 5 Conclusion -- References -- Improved AODV Routing Protocol Based on Multi-objective Simulated Annealing Algorithm -- Abstract -- 1 Introduction -- 2 Ad Hoc Network and AODV Protocol -- 3 Multi-objective Simulated Annealing -- 3.1 Single-objective Simulated Annealing -- 3.2 Multi-objective Simulated Annealing -- 3.3 Main Process of Multi-target Annealing -- 4 Multi-objective Optimization AODV Routing Protocol -- 4.1 Network Model -- 4.2 Fitness Function -- 4.3 Perturbation Function -- 4.4 Multi-objective Simulated Annealing Optimization Algorithm -- 5 Simulation and Analysis -- 5.1 Simulation Scenario Description -- 5.2 Simulation Parameter Setting -- 5.3 Simulation Experiment Results and Comparative Analysis -- 6 Conclusion -- Acknowledgement -- References -- Solving Satellite Range Scheduling Problem with Learning-Based Artificial Bee Colony Algorithm -- Abstract -- 1 Introduction -- 2 Problem Description.
3 Learning-Based Artificial Bee Colony Algorithm -- 3.1 Traditional Artificial Bee Colony Algorithm -- 3.2 Algorithm Overall Framework -- 3.3 Position-Based Learning Strategy -- 3.4 Error-Based Learning Strategy -- 3.5 Parameter Analysis -- 4 Experiment Analysis -- 4.1 Analysis of Algorithm -- 4.2 Comparison to State-Of-The-Art Algorithms -- 5 Conclusion -- Acknowledgement -- References -- Black Widow Spider Algorithm Based on Differential Evolution and Random Disturbance -- Abstract -- 1 Introduction -- 2 Black Widow Spider Algorithm -- 3 Improved Black Widow Spider Algorithm -- 3.1 Population Reproduction for Global Optimization -- 3.2 Population Mutation Based on Differential Evolution Algorithm -- 3.3 Random Disturbance Strategy -- 4 Algorithm Implementation -- 5 Simulation Experiment -- 5.1 Test Function -- 5.2 Design Problems of Tension Spring -- 6 Summary -- Acknowledgments -- References -- Attribute Selection Method Based on Artificial Bee Colony Algorithm and Neighborhood Discrimination Matrix Optimization -- 1 Introduction -- 2 Related Knowledge -- 2.1 Basic Knowledge of Neighborhood Rough Set -- 2.2 Artificial Bee Colony and Its Improved Algorithm -- 3 Improved Attribute Selection Algorithm for Artificial Bee Colony and Neighborhood Discrimination Matrix -- 3.1 Definition of Attribute Importance of Neighborhood Discernibility Matrix -- 3.2 Fitness Function Construction -- 3.3 Neighborhood Discernibility Matrix Importance and Artificial Bee Colony Feature Selection Algorithm -- 4 Experiment Analysis -- 4.1 Selection of -- 4.2 Algorithm Comparison Results -- 4.3 Algorithm Performance Comparison -- 5 Concluding Remarks -- References -- A Cuckoo Quantum Evolutionary Algorithm for the Graph Coloring Problem -- Abstract -- 1 Introduction -- 2 Problem Description -- 3 The Cuckoo Quantum Evolutionary Algorithm for GCP. 3.1 Representation of the Solution to the Graph Coloring Problem -- 3.2 Quantum Matrix in the Cuckoo Quantum Evolutionary Algorithm -- 3.3 Framework of the Cuckoo Quantum Evolutionary Algorithm -- 3.4 Initialization of the CQEA -- 3.5 Local Search in the Solution Space -- 3.6 The Cuckoo Search -- 3.7 The Perturbance Strategy -- 4 Experimental Results -- 5 Conclusion -- References -- Feature Selection Algorithm Based on Discernibility Matrix and Fruit Fly Optimization -- 1 Introduction -- 2 Related Knowledge -- 2.1 Rough Set Theory -- 2.2 Fruit Fly Optimization Algorithm -- 3 Feature Selection Algorithm Based on Discernibility Matrix and Fruit Fly Optimization -- 3.1 Method of Defining Attribute Importance Based on Discernibility Matrix -- 3.2 Rough Set Fitness Function -- 3.3 Feature Selection Algorithm Based on Discernibility Matrix and Improved Fruit Fly Optimization -- 3.4 Algorithm Time Complexity -- 4 Experimental Data Analysis -- 4.1 Instance Verification -- 4.2 UCI Data Sets Experimental Data Analysis -- 5 Concluding Remarks -- References -- Feature Selection Method Based on Ant Colony Optimization Algorithm and Improved Neighborhood Discernibility Matrix -- 1 Introduction -- 2 Related Knowledge -- 2.1 Neighborhood Rough Set Theory -- 2.2 Ant Colony Algorithm and Its Optimized Feature Selection Method -- 3 Feature Selection Method Based on ACO and Improved Neighborhood Discernibility Matrix -- 3.1 The Definition of Attribute Importance of Neighborhood Discernibility Matrix -- 3.2 Description of Algorithm Steps -- 3.3 Analysis of Algorithm Time Complexity -- 4 Analysis of Experimental Data -- 4.1 Case Analysis -- 4.2 Analysis of UCI Data Set -- 5 Concluding Remarks -- References -- Implementation and Application of NSGA-III Improved Algorithm in Multi-objective Environment -- Abstract -- 1 Introduction. 2 Many-Objective Problems and EMO Methodologies -- 2.1 Potential Difficulties in Dealing with Multi-objective Problems -- 2.2 Two Strategies to Face These Difficulties -- 3 NSGA-III Algorithm and Its Improvement -- 3.1 Determines the Reference Point on the Hyperplane -- 3.2 Normalization of Population Members -- 3.3 Association Operation -- 3.4 Inheritance of Population Offspring -- 3.5 Evaluation of Service Performance -- 4 Experiment -- 4.1 Experimental Environment Setting -- 4.2 Analysis of Experimental Results -- 5 Conclusion -- References -- A Differential Evolution Algorithm for Multi-objective Mixed-Variable Optimization Problems -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Overview -- 3.1 Review of NSGA-II -- 3.2 Review of MCDEmv -- 4 The Proposed MO-MCDEmv -- 4.1 Selection of the Optimal Individual -- 4.2 The Modifications of Statistics-Based Local Search -- 4.3 The Framework of MO-MCDEmv -- 5 Numerical Experiment -- 5.1 Set Relevant Parameters -- 5.2 The Results of Two Practical MO-MVOPs -- 6 Conclusion -- Acknowledgments -- References -- An Effective Data Balancing Strategy Based on Swarm Intelligence Algorithm for Malicious Code Detection and Classification -- 1 Introduction -- 2 Swarm Intelligence Optimization Model -- 3 Dynamic Sampling Strategy Based on Swarm Intelligence Algorithm -- 3.1 Dynamic Sampling Model -- 3.2 Dynamic Sampling Based on Swarm Intelligence Algorithm -- 4 Experimental Evaluation -- 4.1 Experimental Setup -- 4.2 Type of Unbalanced Data -- 4.3 Data Sets and Models -- 4.4 Result Analysis -- 5 Conclusion -- References -- Adaptive Multi-strategy Learning Particle Swarm Optimization with Evolutionary State Estimation -- 1 Introduction -- 2 Related Works -- 2.1 Canonical PSO -- 2.2 Variants of PSO -- 3 Proposed AMSLPSO Algorithm -- 3.1 Evolutionary State Estimation. 3.2 Random Elite and Mainstream Learning Exemplars -- 3.3 Choose Learning Strategy -- 3.4 Framework of AMSLPSO -- 4 Experimental Results and Analysis -- 4.1 Benchmark Functions and Comparison Algorithms -- 4.2 Experimental Results -- 5 Conclusion -- References -- Water Wave Optimization with Distributed-Learning Refraction -- 1 Introduction -- 2 The Basic WWO Algorithm -- 2.1 Propagation -- 2.2 Refraction -- 2.3 Breaking -- 2.4 The Algorithmic Framework of WWO -- 3 The Proposed DLWWO Algorithm -- 3.1 Nonlinear Dimension Reduction -- 3.2 Distributed-Learning Refraction -- 3.3 The Framework of DLWWO -- 3.4 Runtime Complexity of DLWWO -- 4 Numerical Experiments -- 4.1 Experimental Parameter Setting -- 4.2 Comparative Experiments -- 5 Conclusion -- References -- Adaptive Differential Privacy Budget Allocation Algorithm Based on Random Forest -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Algorithm-Related Definitions -- 3.1 Solving for Feature Weights and Decision Tree Weights. -- 3.2 Filtering of Feature Sets -- 3.3 Adaptive Allocation of Privacy Protection Budgets -- 4 Algorithm Implementation and Analysis -- 4.1 Algorithm Flow -- 4.2 Algorithm Description -- 5 Experimental Results and Analysis -- 5.1 Experimental Design -- 6 Experimental Results and Analysis -- 7 Conclusion and Discussion -- References -- A Node Influence Based Memetic Algorithm for Community Detection in Complex Networks -- Abstract -- 1 Introduction -- 2 Background Knowledge -- 2.1 Modularity -- 2.2 Transition Probability Matrix -- 3 Proposed Algorithm -- 3.1 Representation -- 3.2 Framework -- 3.3 Initialization -- 3.4 Selection -- 3.5 Crossover -- 3.6 Mutation -- 3.7 Multi-level Greedy Search -- 4 Experimental Study and Results Analysis -- 4.1 Experimental Settings -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- Acknowledgements -- References. Adaptive Constraint Multi-objective Differential Evolution Algorithm Based on SARSA Method. |
| Record Nr. | UNINA-9910556897903321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bio-inspired computing . Part I : theories and applications : 16th international conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021 : revised selected papers / / Linqiang Pan [and three others], editors
| Bio-inspired computing . Part I : theories and applications : 16th international conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021 : revised selected papers / / Linqiang Pan [and three others], editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (478 pages) |
| Disciplina | 006 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Natural computation
Artificial intelligence |
| ISBN | 981-19-1256-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Evolutionary Computation and Swarm Intelligence -- An Optimization Task Scheduling Model for Multi-robot Systems in Intelligent Warehouses -- 1 Introduction -- 2 Related Work -- 3 Intelligent Warehouses -- 3.1 Problem Statement -- 3.2 BHM -- 4 Improved Intelligent Warehouses -- 4.1 New Model -- 4.2 New Model -- 5 Simulated Experiments -- 5.1 Performance Metrics -- 5.2 Parameter Settings -- 5.3 Analysis of Results -- 6 Conclusion -- References -- A Multi-objective Optimization Algorithm for Wireless Sensor Network Energy Balance Problem in Internet of Things -- Abstract -- 1 Introduction -- 2 WSN Energy Balance Problem -- 2.1 Problem Analysis -- 2.2 Problem Model -- 3 Algorithm Principle -- 3.1 NSGA-II -- 3.2 Clustering Mechanism -- 3.3 Framework of CMNSGA-II -- 4 Experimental Simulation -- 4.1 Parameter Setting -- 4.2 Result Analysis -- 5 Conclusion -- References -- Improved AODV Routing Protocol Based on Multi-objective Simulated Annealing Algorithm -- Abstract -- 1 Introduction -- 2 Ad Hoc Network and AODV Protocol -- 3 Multi-objective Simulated Annealing -- 3.1 Single-objective Simulated Annealing -- 3.2 Multi-objective Simulated Annealing -- 3.3 Main Process of Multi-target Annealing -- 4 Multi-objective Optimization AODV Routing Protocol -- 4.1 Network Model -- 4.2 Fitness Function -- 4.3 Perturbation Function -- 4.4 Multi-objective Simulated Annealing Optimization Algorithm -- 5 Simulation and Analysis -- 5.1 Simulation Scenario Description -- 5.2 Simulation Parameter Setting -- 5.3 Simulation Experiment Results and Comparative Analysis -- 6 Conclusion -- Acknowledgement -- References -- Solving Satellite Range Scheduling Problem with Learning-Based Artificial Bee Colony Algorithm -- Abstract -- 1 Introduction -- 2 Problem Description.
3 Learning-Based Artificial Bee Colony Algorithm -- 3.1 Traditional Artificial Bee Colony Algorithm -- 3.2 Algorithm Overall Framework -- 3.3 Position-Based Learning Strategy -- 3.4 Error-Based Learning Strategy -- 3.5 Parameter Analysis -- 4 Experiment Analysis -- 4.1 Analysis of Algorithm -- 4.2 Comparison to State-Of-The-Art Algorithms -- 5 Conclusion -- Acknowledgement -- References -- Black Widow Spider Algorithm Based on Differential Evolution and Random Disturbance -- Abstract -- 1 Introduction -- 2 Black Widow Spider Algorithm -- 3 Improved Black Widow Spider Algorithm -- 3.1 Population Reproduction for Global Optimization -- 3.2 Population Mutation Based on Differential Evolution Algorithm -- 3.3 Random Disturbance Strategy -- 4 Algorithm Implementation -- 5 Simulation Experiment -- 5.1 Test Function -- 5.2 Design Problems of Tension Spring -- 6 Summary -- Acknowledgments -- References -- Attribute Selection Method Based on Artificial Bee Colony Algorithm and Neighborhood Discrimination Matrix Optimization -- 1 Introduction -- 2 Related Knowledge -- 2.1 Basic Knowledge of Neighborhood Rough Set -- 2.2 Artificial Bee Colony and Its Improved Algorithm -- 3 Improved Attribute Selection Algorithm for Artificial Bee Colony and Neighborhood Discrimination Matrix -- 3.1 Definition of Attribute Importance of Neighborhood Discernibility Matrix -- 3.2 Fitness Function Construction -- 3.3 Neighborhood Discernibility Matrix Importance and Artificial Bee Colony Feature Selection Algorithm -- 4 Experiment Analysis -- 4.1 Selection of -- 4.2 Algorithm Comparison Results -- 4.3 Algorithm Performance Comparison -- 5 Concluding Remarks -- References -- A Cuckoo Quantum Evolutionary Algorithm for the Graph Coloring Problem -- Abstract -- 1 Introduction -- 2 Problem Description -- 3 The Cuckoo Quantum Evolutionary Algorithm for GCP. 3.1 Representation of the Solution to the Graph Coloring Problem -- 3.2 Quantum Matrix in the Cuckoo Quantum Evolutionary Algorithm -- 3.3 Framework of the Cuckoo Quantum Evolutionary Algorithm -- 3.4 Initialization of the CQEA -- 3.5 Local Search in the Solution Space -- 3.6 The Cuckoo Search -- 3.7 The Perturbance Strategy -- 4 Experimental Results -- 5 Conclusion -- References -- Feature Selection Algorithm Based on Discernibility Matrix and Fruit Fly Optimization -- 1 Introduction -- 2 Related Knowledge -- 2.1 Rough Set Theory -- 2.2 Fruit Fly Optimization Algorithm -- 3 Feature Selection Algorithm Based on Discernibility Matrix and Fruit Fly Optimization -- 3.1 Method of Defining Attribute Importance Based on Discernibility Matrix -- 3.2 Rough Set Fitness Function -- 3.3 Feature Selection Algorithm Based on Discernibility Matrix and Improved Fruit Fly Optimization -- 3.4 Algorithm Time Complexity -- 4 Experimental Data Analysis -- 4.1 Instance Verification -- 4.2 UCI Data Sets Experimental Data Analysis -- 5 Concluding Remarks -- References -- Feature Selection Method Based on Ant Colony Optimization Algorithm and Improved Neighborhood Discernibility Matrix -- 1 Introduction -- 2 Related Knowledge -- 2.1 Neighborhood Rough Set Theory -- 2.2 Ant Colony Algorithm and Its Optimized Feature Selection Method -- 3 Feature Selection Method Based on ACO and Improved Neighborhood Discernibility Matrix -- 3.1 The Definition of Attribute Importance of Neighborhood Discernibility Matrix -- 3.2 Description of Algorithm Steps -- 3.3 Analysis of Algorithm Time Complexity -- 4 Analysis of Experimental Data -- 4.1 Case Analysis -- 4.2 Analysis of UCI Data Set -- 5 Concluding Remarks -- References -- Implementation and Application of NSGA-III Improved Algorithm in Multi-objective Environment -- Abstract -- 1 Introduction. 2 Many-Objective Problems and EMO Methodologies -- 2.1 Potential Difficulties in Dealing with Multi-objective Problems -- 2.2 Two Strategies to Face These Difficulties -- 3 NSGA-III Algorithm and Its Improvement -- 3.1 Determines the Reference Point on the Hyperplane -- 3.2 Normalization of Population Members -- 3.3 Association Operation -- 3.4 Inheritance of Population Offspring -- 3.5 Evaluation of Service Performance -- 4 Experiment -- 4.1 Experimental Environment Setting -- 4.2 Analysis of Experimental Results -- 5 Conclusion -- References -- A Differential Evolution Algorithm for Multi-objective Mixed-Variable Optimization Problems -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Overview -- 3.1 Review of NSGA-II -- 3.2 Review of MCDEmv -- 4 The Proposed MO-MCDEmv -- 4.1 Selection of the Optimal Individual -- 4.2 The Modifications of Statistics-Based Local Search -- 4.3 The Framework of MO-MCDEmv -- 5 Numerical Experiment -- 5.1 Set Relevant Parameters -- 5.2 The Results of Two Practical MO-MVOPs -- 6 Conclusion -- Acknowledgments -- References -- An Effective Data Balancing Strategy Based on Swarm Intelligence Algorithm for Malicious Code Detection and Classification -- 1 Introduction -- 2 Swarm Intelligence Optimization Model -- 3 Dynamic Sampling Strategy Based on Swarm Intelligence Algorithm -- 3.1 Dynamic Sampling Model -- 3.2 Dynamic Sampling Based on Swarm Intelligence Algorithm -- 4 Experimental Evaluation -- 4.1 Experimental Setup -- 4.2 Type of Unbalanced Data -- 4.3 Data Sets and Models -- 4.4 Result Analysis -- 5 Conclusion -- References -- Adaptive Multi-strategy Learning Particle Swarm Optimization with Evolutionary State Estimation -- 1 Introduction -- 2 Related Works -- 2.1 Canonical PSO -- 2.2 Variants of PSO -- 3 Proposed AMSLPSO Algorithm -- 3.1 Evolutionary State Estimation. 3.2 Random Elite and Mainstream Learning Exemplars -- 3.3 Choose Learning Strategy -- 3.4 Framework of AMSLPSO -- 4 Experimental Results and Analysis -- 4.1 Benchmark Functions and Comparison Algorithms -- 4.2 Experimental Results -- 5 Conclusion -- References -- Water Wave Optimization with Distributed-Learning Refraction -- 1 Introduction -- 2 The Basic WWO Algorithm -- 2.1 Propagation -- 2.2 Refraction -- 2.3 Breaking -- 2.4 The Algorithmic Framework of WWO -- 3 The Proposed DLWWO Algorithm -- 3.1 Nonlinear Dimension Reduction -- 3.2 Distributed-Learning Refraction -- 3.3 The Framework of DLWWO -- 3.4 Runtime Complexity of DLWWO -- 4 Numerical Experiments -- 4.1 Experimental Parameter Setting -- 4.2 Comparative Experiments -- 5 Conclusion -- References -- Adaptive Differential Privacy Budget Allocation Algorithm Based on Random Forest -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Algorithm-Related Definitions -- 3.1 Solving for Feature Weights and Decision Tree Weights. -- 3.2 Filtering of Feature Sets -- 3.3 Adaptive Allocation of Privacy Protection Budgets -- 4 Algorithm Implementation and Analysis -- 4.1 Algorithm Flow -- 4.2 Algorithm Description -- 5 Experimental Results and Analysis -- 5.1 Experimental Design -- 6 Experimental Results and Analysis -- 7 Conclusion and Discussion -- References -- A Node Influence Based Memetic Algorithm for Community Detection in Complex Networks -- Abstract -- 1 Introduction -- 2 Background Knowledge -- 2.1 Modularity -- 2.2 Transition Probability Matrix -- 3 Proposed Algorithm -- 3.1 Representation -- 3.2 Framework -- 3.3 Initialization -- 3.4 Selection -- 3.5 Crossover -- 3.6 Mutation -- 3.7 Multi-level Greedy Search -- 4 Experimental Study and Results Analysis -- 4.1 Experimental Settings -- 4.2 Experimental Results and Analysis -- 5 Conclusions -- Acknowledgements -- References. Adaptive Constraint Multi-objective Differential Evolution Algorithm Based on SARSA Method. |
| Record Nr. | UNISA-996464549503316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bio-inspired computing . Part II : theories and applications : 16th international conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021 : revised selected papers / / Linqiang Pan [and three others] (editors)
| Bio-inspired computing . Part II : theories and applications : 16th international conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021 : revised selected papers / / Linqiang Pan [and three others] (editors) |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (448 pages) |
| Disciplina | 006.38 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Natural computation
Artificial intelligence |
| ISBN | 981-19-1253-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Machine Learning and Computer Vision -- Point Clouds Registration Algorithm Based on Spatial Structure Similarity of Visual Keypoints -- 1 Introduction -- 2 Method -- 2.1 2D Visual Keypoints -- 2.2 Depth Completion and Back-Project -- 2.3 Screening 3D Keypoints -- 2.4 Rigid Transformation Parameter Estimation -- 3 Experiment -- 3.1 Data and Metrics -- 3.2 Experiment and Comparison -- 4 Conclusion -- References -- Software Defect Prediction Based on SMOTE-Tomek and XGBoost -- 1 Introduction -- 2 Related Work -- 2.1 Sampling Technique -- 2.2 Cost-Sensitive Learning -- 2.3 Ensample Learning Algorithm -- 3 The Proposed Model -- 3.1 SMOTE-Tomek -- 3.2 XGBoost -- 3.3 STX Model -- 4 Experiments -- 4.1 Datasets -- 4.2 Performance Measures -- 4.3 Results and Discussion -- 4.4 Statistical Comparison of Software Defect Predictors -- 5 Conclusion -- References -- Imbalance Classification Based on Deep Learning and Fuzzy Support Vector Machine -- 1 Introduction -- 2 Related Work -- 2.1 Data-Level -- 2.2 Algorithm-Level -- 3 Proposed Method -- 3.1 Feature Extraction with Deep Learning -- 3.2 Random Feature Oversampling Based on Center Distance -- 3.3 Fuzzy Support Vector Machine -- 4 Experiments and Results -- 4.1 Evaluation Metrics and Datasets -- 4.2 Experiment Settings -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Community Detection Based on Surrogate Network -- 1 Introduction -- 2 Preliminaries -- 2.1 Spectral Clustering -- 2.2 EA-Based Community Detection -- 3 Proposed Method -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results and Discussions -- 5 Conclusions -- References -- Fault-Tolerant Scheme of Cloud Task Allocation Based on Deep Reinforcement Learning -- 1 Introduction -- 2 Related Works -- 3 Cloud System and Fault Model.
3.1 Task Model -- 3.2 Fault Model -- 3.3 APSDQN MDP Model -- 4 APSDQN Implementation -- 5 Simulation Experiment -- 5.1 Experimental Setup -- 5.2 Experimental Results and Analysis -- 6 Conclusion -- References -- Attention-Guided Memory Model for Video Object Segmentation -- 1 Introduction -- 2 Related work -- 3 Methodology -- 3.1 Network Overview -- 3.2 Joint Attention Guider -- 3.3 Spatial-Temporal Feature Fusion -- 3.4 Implementation of Other Modules -- 3.5 Network Training -- 4 Experiments -- 4.1 Comparison to State-of-the-Art -- 4.2 Ablation Study -- 5 Conclusion -- References -- Multi-workflow Scheduling Based on Implicit Information Transmission in Cloud Computing Environment -- 1 Introduction -- 2 Workflow Schedule Model -- 2.1 Workflow Model -- 2.2 Problem Expression -- 3 Multifactorial Evolutionary Algorithm for DAG Schedule -- 3.1 MFEA Based on Combinatorial Population (CP-MFEA) -- 3.2 Generation of Population -- 3.3 Generation of Offspring -- 3.4 Evaluate Offspring -- 4 Experiment and Discuss -- 4.1 Basic Workflow Structure -- 4.2 Experimental Setup -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Pose Estimation Based on Snake Model and Inverse Perspective Transform for Elliptical Ring Monocular Vision -- 1 Introduction -- 2 Ellipse Ring Contour Extraction Based on Snake Model -- 2.1 Rough Contour Extraction -- 2.2 Refined Contour Extraction -- 3 Ellipse Correction Based on Inverse Perspective Transformation -- 3.1 Solving Inverse Perspective Transformation Matrix -- 3.2 Ellipse Correction and Pose Estimation -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- Enhancing Aspect-Based Sentiment Classification with Local Semantic Information -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Methodology -- 4.1 Embedding and Bidirectional LSTM -- 4.2 Obtaining Semantic Information. 4.3 FMDG: Obtaining Local Semantic Information -- 4.4 Information Fusion -- 4.5 Sentiment Classification -- 4.6 Training -- 5 Experiments -- 5.1 Dataset and Experiment Setup -- 5.2 Models for Comparison -- 5.3 Overall Result -- 5.4 Ablation Study -- 6 Conclusion -- References -- A Chinese Dataset Building Method Based on Data Hierarchy and Balance Analysis in Knowledge Graph Completion -- 1 Introduction -- 2 Problem Analysis -- 2.1 Existence of Meaningless Triples -- 2.2 Unbalanced Data Volume -- 3 Methods -- 3.1 Use Indicators to Measure Dataset Structure -- 3.2 Method of Constructing Chinese Dataset -- 3.3 Knowledge Graph Completion Model Selection -- 4 Experiments -- 5 Conclusions -- References -- A Method for Formation Control of Autonomous Underwater Vehicle Formation Navigation Based on Consistency -- 1 Introduction -- 2 AUV Formation System Description -- 2.1 Graph Theory -- 2.2 Kinematic Model -- 2.3 Information Interaction Model -- 3 Formation Control Algorithm Design -- 3.1 Definition of Covariate -- 3.2 Second-Order Consistency Control Algorithm -- 3.3 Model Predictive Control Rate Design -- 4 Simulation Research -- 4.1 Simulation Setup -- 4.2 Simulation Results and Analysis -- 5 Conclusion -- References -- A Formation Control Method of AUV Group Combining Consensus Theory and Leader-Follower Method Under Communication Delay -- 1 Introduction -- 2 Preliminaries and Modelling -- 2.1 Graph Theory -- 2.2 AUV Model -- 2.3 Communication Modelling -- 3 Consistency Control Algorithm Based on Leader-Following Method for AUV Group -- 3.1 Consistency Control Algorithm Without Communication Delay -- 3.2 Consistency Control Algorithm with Communication Delay -- 4 Simulation Results -- 4.1 Simulation of Consistency Control Algorithm Without Communication Delay -- 4.2 Simulation of Consistency Control Algorithm with Communication Delay -- 5 Conclusion. References -- stigLD: Stigmergic Coordination of Linked Data Agents -- 1 Introduction -- 2 Varieties of Stigmergy and Related Work -- 3 Process Algebra, Agents and Linked Systems -- 3.1 Theoretical Setting: CCS with Value-Passing -- 3.2 Linked Data Servers, Agents and Linked Systems -- 3.3 Synthesis -- 4 Stigmergy in Linked Systems -- 4.1 stigLD: A Domain Model for Stigmergic Linked Systems -- 4.2 stigFN: SPARQL Functions for Stigmergic Linked Systems -- 5 Use Case: Make-to-Order Fulfilment -- 5.1 Shop Floor Representation in StigLD -- 5.2 Agent Models -- 5.3 Evaluation -- 6 Conclusions and Future Work -- References -- An Approach for Optimal Coverage of Heterogeneous AUV Swarm Based on Consistency Theory -- 1 Introduction -- 2 Problem Formulation and Preliminaries -- 2.1 Voronoi Partition -- 2.2 Bioinspired Model -- 2.3 Region Partition Model -- 3 Optimal Region Partition with Consensus Protocol -- 3.1 Control Strategy Design -- 3.2 Consistency Analysis -- 4 Collaborative Target Search Based on Consensus Protocol -- 4.1 Collaborative Target Search Problem Modeling -- 4.2 Consistency Condition -- 5 Simulation Experiment and Analysis -- 5.1 Simulation of Optimal Region Partition -- 5.2 Simulation of Cooperative Target Search -- 6 Conclusion -- References -- An Improved Event-Triggered Control Method Based on Consistency Algorithm in Heterogeneous AUV Swarm Under Communication Delay -- 1 Introduction -- 2 Problem Description -- 2.1 Multi-AUV Swarm -- 2.2 Heterogeneous AUV Swarm -- 3 Controller Design -- 3.1 Heterogeneous AUV Swarm Consistency Control Algorithm Based on Event-Triggered -- 3.2 Heterogeneous AUV Group Consistency Algorithm Based on Event-Triggered Control Under Communication Time Delay -- 4 Simulation and Analysis -- 4.1 Simulation of Heterogeneous AUV Cluster Consistency Algorithm under Event Trigger Control. 4.2 Simulation of Heterogeneous AUV Cluster Consistency Algorithm with Time Delay Under Event Trigger Control -- 5 Conclusion -- References -- Edge Computing Energy-Efficient Resource Scheduling Based on Deep Reinforcement Learning and Imitation Learning -- 1 Introduction -- 2 Related Works -- 3 Scheduling System -- 3.1 Workload Processor -- 3.2 Problem Definition -- 3.3 Environment Model -- 4 Simulation Experiment -- 5 Conclusion -- References -- Metric Learning with Distillation for Overcoming Catastrophic Forgetting -- 1 Introduction -- 2 Related Work -- 2.1 Incremental Learning -- 2.2 Metric Learning -- 2.3 Knowledge Distillation -- 3 Proposed Method -- 3.1 Network Structure and its Losses -- 3.2 Knowledge Distillation Embedded in the Network -- 3.3 Classifier -- 4 Experiment -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Ablation Experiment -- 4.4 Comparison Methods -- 5 Conclusions -- References -- Feature Enhanced and Context Inference Network for Pancreas Segmentation -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning Methods -- 2.2 Attention Mechanism -- 3 Methods -- 3.1 Feature Encoder -- 3.2 Feature Space Mapping -- 3.3 Feature Enhancement -- 3.4 Decoder -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Comparative Experiments -- 4.3 Comparative Experiments -- 5 Discussion and Conclusion -- References -- Object Relations Focused Siamese Network for Remote Sensing Image Change Detection -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Basic Network Architecture -- 3.2 Geo-Objects Relations Module -- 3.3 Feature Enhancement -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Ablation Experiments -- 4.3 Comparative Experiments -- 5 Conclusion -- References -- MLFF: Multiple Low-Level Features Fusion Model for Retinal Vessel Segmentation -- 1 Introduction -- 2 Related Works -- 3 Multiple Low-Level Feature Fusion Model. 3.1 Multiple Low-Level Feature Extraction. |
| Record Nr. | UNISA-996464536203316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bio-inspired computing . Part II : theories and applications : 16th international conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021 : revised selected papers / / Linqiang Pan [and three others] (editors)
| Bio-inspired computing . Part II : theories and applications : 16th international conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021 : revised selected papers / / Linqiang Pan [and three others] (editors) |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (448 pages) |
| Disciplina | 006.38 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Natural computation
Artificial intelligence |
| ISBN | 981-19-1253-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Machine Learning and Computer Vision -- Point Clouds Registration Algorithm Based on Spatial Structure Similarity of Visual Keypoints -- 1 Introduction -- 2 Method -- 2.1 2D Visual Keypoints -- 2.2 Depth Completion and Back-Project -- 2.3 Screening 3D Keypoints -- 2.4 Rigid Transformation Parameter Estimation -- 3 Experiment -- 3.1 Data and Metrics -- 3.2 Experiment and Comparison -- 4 Conclusion -- References -- Software Defect Prediction Based on SMOTE-Tomek and XGBoost -- 1 Introduction -- 2 Related Work -- 2.1 Sampling Technique -- 2.2 Cost-Sensitive Learning -- 2.3 Ensample Learning Algorithm -- 3 The Proposed Model -- 3.1 SMOTE-Tomek -- 3.2 XGBoost -- 3.3 STX Model -- 4 Experiments -- 4.1 Datasets -- 4.2 Performance Measures -- 4.3 Results and Discussion -- 4.4 Statistical Comparison of Software Defect Predictors -- 5 Conclusion -- References -- Imbalance Classification Based on Deep Learning and Fuzzy Support Vector Machine -- 1 Introduction -- 2 Related Work -- 2.1 Data-Level -- 2.2 Algorithm-Level -- 3 Proposed Method -- 3.1 Feature Extraction with Deep Learning -- 3.2 Random Feature Oversampling Based on Center Distance -- 3.3 Fuzzy Support Vector Machine -- 4 Experiments and Results -- 4.1 Evaluation Metrics and Datasets -- 4.2 Experiment Settings -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Community Detection Based on Surrogate Network -- 1 Introduction -- 2 Preliminaries -- 2.1 Spectral Clustering -- 2.2 EA-Based Community Detection -- 3 Proposed Method -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results and Discussions -- 5 Conclusions -- References -- Fault-Tolerant Scheme of Cloud Task Allocation Based on Deep Reinforcement Learning -- 1 Introduction -- 2 Related Works -- 3 Cloud System and Fault Model.
3.1 Task Model -- 3.2 Fault Model -- 3.3 APSDQN MDP Model -- 4 APSDQN Implementation -- 5 Simulation Experiment -- 5.1 Experimental Setup -- 5.2 Experimental Results and Analysis -- 6 Conclusion -- References -- Attention-Guided Memory Model for Video Object Segmentation -- 1 Introduction -- 2 Related work -- 3 Methodology -- 3.1 Network Overview -- 3.2 Joint Attention Guider -- 3.3 Spatial-Temporal Feature Fusion -- 3.4 Implementation of Other Modules -- 3.5 Network Training -- 4 Experiments -- 4.1 Comparison to State-of-the-Art -- 4.2 Ablation Study -- 5 Conclusion -- References -- Multi-workflow Scheduling Based on Implicit Information Transmission in Cloud Computing Environment -- 1 Introduction -- 2 Workflow Schedule Model -- 2.1 Workflow Model -- 2.2 Problem Expression -- 3 Multifactorial Evolutionary Algorithm for DAG Schedule -- 3.1 MFEA Based on Combinatorial Population (CP-MFEA) -- 3.2 Generation of Population -- 3.3 Generation of Offspring -- 3.4 Evaluate Offspring -- 4 Experiment and Discuss -- 4.1 Basic Workflow Structure -- 4.2 Experimental Setup -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Pose Estimation Based on Snake Model and Inverse Perspective Transform for Elliptical Ring Monocular Vision -- 1 Introduction -- 2 Ellipse Ring Contour Extraction Based on Snake Model -- 2.1 Rough Contour Extraction -- 2.2 Refined Contour Extraction -- 3 Ellipse Correction Based on Inverse Perspective Transformation -- 3.1 Solving Inverse Perspective Transformation Matrix -- 3.2 Ellipse Correction and Pose Estimation -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- Enhancing Aspect-Based Sentiment Classification with Local Semantic Information -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Methodology -- 4.1 Embedding and Bidirectional LSTM -- 4.2 Obtaining Semantic Information. 4.3 FMDG: Obtaining Local Semantic Information -- 4.4 Information Fusion -- 4.5 Sentiment Classification -- 4.6 Training -- 5 Experiments -- 5.1 Dataset and Experiment Setup -- 5.2 Models for Comparison -- 5.3 Overall Result -- 5.4 Ablation Study -- 6 Conclusion -- References -- A Chinese Dataset Building Method Based on Data Hierarchy and Balance Analysis in Knowledge Graph Completion -- 1 Introduction -- 2 Problem Analysis -- 2.1 Existence of Meaningless Triples -- 2.2 Unbalanced Data Volume -- 3 Methods -- 3.1 Use Indicators to Measure Dataset Structure -- 3.2 Method of Constructing Chinese Dataset -- 3.3 Knowledge Graph Completion Model Selection -- 4 Experiments -- 5 Conclusions -- References -- A Method for Formation Control of Autonomous Underwater Vehicle Formation Navigation Based on Consistency -- 1 Introduction -- 2 AUV Formation System Description -- 2.1 Graph Theory -- 2.2 Kinematic Model -- 2.3 Information Interaction Model -- 3 Formation Control Algorithm Design -- 3.1 Definition of Covariate -- 3.2 Second-Order Consistency Control Algorithm -- 3.3 Model Predictive Control Rate Design -- 4 Simulation Research -- 4.1 Simulation Setup -- 4.2 Simulation Results and Analysis -- 5 Conclusion -- References -- A Formation Control Method of AUV Group Combining Consensus Theory and Leader-Follower Method Under Communication Delay -- 1 Introduction -- 2 Preliminaries and Modelling -- 2.1 Graph Theory -- 2.2 AUV Model -- 2.3 Communication Modelling -- 3 Consistency Control Algorithm Based on Leader-Following Method for AUV Group -- 3.1 Consistency Control Algorithm Without Communication Delay -- 3.2 Consistency Control Algorithm with Communication Delay -- 4 Simulation Results -- 4.1 Simulation of Consistency Control Algorithm Without Communication Delay -- 4.2 Simulation of Consistency Control Algorithm with Communication Delay -- 5 Conclusion. References -- stigLD: Stigmergic Coordination of Linked Data Agents -- 1 Introduction -- 2 Varieties of Stigmergy and Related Work -- 3 Process Algebra, Agents and Linked Systems -- 3.1 Theoretical Setting: CCS with Value-Passing -- 3.2 Linked Data Servers, Agents and Linked Systems -- 3.3 Synthesis -- 4 Stigmergy in Linked Systems -- 4.1 stigLD: A Domain Model for Stigmergic Linked Systems -- 4.2 stigFN: SPARQL Functions for Stigmergic Linked Systems -- 5 Use Case: Make-to-Order Fulfilment -- 5.1 Shop Floor Representation in StigLD -- 5.2 Agent Models -- 5.3 Evaluation -- 6 Conclusions and Future Work -- References -- An Approach for Optimal Coverage of Heterogeneous AUV Swarm Based on Consistency Theory -- 1 Introduction -- 2 Problem Formulation and Preliminaries -- 2.1 Voronoi Partition -- 2.2 Bioinspired Model -- 2.3 Region Partition Model -- 3 Optimal Region Partition with Consensus Protocol -- 3.1 Control Strategy Design -- 3.2 Consistency Analysis -- 4 Collaborative Target Search Based on Consensus Protocol -- 4.1 Collaborative Target Search Problem Modeling -- 4.2 Consistency Condition -- 5 Simulation Experiment and Analysis -- 5.1 Simulation of Optimal Region Partition -- 5.2 Simulation of Cooperative Target Search -- 6 Conclusion -- References -- An Improved Event-Triggered Control Method Based on Consistency Algorithm in Heterogeneous AUV Swarm Under Communication Delay -- 1 Introduction -- 2 Problem Description -- 2.1 Multi-AUV Swarm -- 2.2 Heterogeneous AUV Swarm -- 3 Controller Design -- 3.1 Heterogeneous AUV Swarm Consistency Control Algorithm Based on Event-Triggered -- 3.2 Heterogeneous AUV Group Consistency Algorithm Based on Event-Triggered Control Under Communication Time Delay -- 4 Simulation and Analysis -- 4.1 Simulation of Heterogeneous AUV Cluster Consistency Algorithm under Event Trigger Control. 4.2 Simulation of Heterogeneous AUV Cluster Consistency Algorithm with Time Delay Under Event Trigger Control -- 5 Conclusion -- References -- Edge Computing Energy-Efficient Resource Scheduling Based on Deep Reinforcement Learning and Imitation Learning -- 1 Introduction -- 2 Related Works -- 3 Scheduling System -- 3.1 Workload Processor -- 3.2 Problem Definition -- 3.3 Environment Model -- 4 Simulation Experiment -- 5 Conclusion -- References -- Metric Learning with Distillation for Overcoming Catastrophic Forgetting -- 1 Introduction -- 2 Related Work -- 2.1 Incremental Learning -- 2.2 Metric Learning -- 2.3 Knowledge Distillation -- 3 Proposed Method -- 3.1 Network Structure and its Losses -- 3.2 Knowledge Distillation Embedded in the Network -- 3.3 Classifier -- 4 Experiment -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Ablation Experiment -- 4.4 Comparison Methods -- 5 Conclusions -- References -- Feature Enhanced and Context Inference Network for Pancreas Segmentation -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning Methods -- 2.2 Attention Mechanism -- 3 Methods -- 3.1 Feature Encoder -- 3.2 Feature Space Mapping -- 3.3 Feature Enhancement -- 3.4 Decoder -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Comparative Experiments -- 4.3 Comparative Experiments -- 5 Discussion and Conclusion -- References -- Object Relations Focused Siamese Network for Remote Sensing Image Change Detection -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Basic Network Architecture -- 3.2 Geo-Objects Relations Module -- 3.3 Feature Enhancement -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Ablation Experiments -- 4.3 Comparative Experiments -- 5 Conclusion -- References -- MLFF: Multiple Low-Level Features Fusion Model for Retinal Vessel Segmentation -- 1 Introduction -- 2 Related Works -- 3 Multiple Low-Level Feature Fusion Model. 3.1 Multiple Low-Level Feature Extraction. |
| Record Nr. | UNINA-9910556893003321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bio-inspired computing : theories and applications : Theories and applications : 15th International Conference, BIC-TA 2020, Qingdao, China, October 23-25, 2020, revised selected papers / / Linqiang Pan [and three others], (eds.)
| Bio-inspired computing : theories and applications : Theories and applications : 15th International Conference, BIC-TA 2020, Qingdao, China, October 23-25, 2020, revised selected papers / / Linqiang Pan [and three others], (eds.) |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (xv, 640 pages) : illustrations |
| Disciplina | 511.3 |
| Collana | Communications in computer and information science |
| Soggetto topico | Natural computation |
| ISBN | 981-16-1354-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910485053003321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bio-inspired computing : theories and applications : Theories and applications : 15th International Conference, BIC-TA 2020, Qingdao, China, October 23-25, 2020, revised selected papers / / Linqiang Pan [and three others], (eds.)
| Bio-inspired computing : theories and applications : Theories and applications : 15th International Conference, BIC-TA 2020, Qingdao, China, October 23-25, 2020, revised selected papers / / Linqiang Pan [and three others], (eds.) |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (xv, 640 pages) : illustrations |
| Disciplina | 511.3 |
| Collana | Communications in computer and information science |
| Soggetto topico | Natural computation |
| ISBN | 981-16-1354-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464431103316 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bio-inspired Computing – Theories and Applications : 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part II / / edited by Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang
| Bio-inspired Computing – Theories and Applications : 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part II / / edited by Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIX, 540 p. 152 illus.) |
| Disciplina | 006 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Algorithms Computer simulation Artificial Intelligence Algorithm Analysis and Problem Complexity Simulation and Modeling |
| ISBN | 981-10-3614-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary Computing -- Multi-objective Optimization -- Pattern Recognition -- Others. |
| Record Nr. | UNINA-9910255015303321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bio-inspired Computing – Theories and Applications : 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part I / / edited by Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang
| Bio-inspired Computing – Theories and Applications : 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part I / / edited by Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XX, 528 p. 189 illus.) |
| Disciplina | 006 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Algorithms Computer simulation Artificial Intelligence Algorithm Analysis and Problem Complexity Simulation and Modeling |
| ISBN | 981-10-3611-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | DNA Computing -- Membrane Computing -- Neural Computing -- Machine Learning. |
| Record Nr. | UNINA-9910255015403321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
